Black Belt II - Blue Cross and Blue Shield of Florida (Jacksonville, FL)

Job ID: B1222JUN10 Type Full Time

Job duties include but are not limited to the following:

• Complete a minimum of 4 DMAIC and/or LEAN projects per year
• Actively lead teams and provide individual contribution through problem solving efforts to reduce defects, cycle time, and rework
• Work with finance and other members of the organization in assessing, tracking and reporting the financial benefit of all improvement projects
• Identify and work to remove barriers that slow or prevent the successful attainment of process/productivity improvement and administrative efficiencies that will lead to cost reduction and competitive advantage
• Provide management with project status through monthly project reviews
• Prepare and write a final report on each project per the BCBSF final project report format
• Influence leaders to make the necessary changes for improved performance
• Metric Management Plan preparation and maintenance
• Support Business Process Management through metric identification, measurement development and periodic Measurement Systems Analysis
• Identify projects for, and maintain a list of future CI projects to be worked
• Influence Leaders to make the necessary changes for improved performance
• Mentor Green Belts and upcoming Black Belts
• Complete non-project related assignments as requested by Master Black Belt or area VP

Job Requirements:

• Bachelor's degree or equivalent work experience
• 6+ years business experience with a minimum of 2+ years experience to include quality-related work with both DMAIC and Lean tool sets
• Black Belt certified
• Successfully started and completed 2+ Black Belt projects (must have supporting documentation)
• Must have completed 2+ transactional-type projects
• Demonstrated mastery of Six Sigma "soft" skill-set including but not limited to Communication Plans, ARMI, Includes/Excludes, and other project planning tools
• Outstanding presentation skills with abundant experience in communicating with people at all levels
• Proficient with Excel (specifically pivot tables), Word, PowerPoint and Minitab
• Excellent written communication skills
• Ability to quickly analyze data and create succinct presentations tailored to the audience at hand

Full details at http://www.datashaping.com/jobs18391x.shtml

Consultant, Discover Network, B2B Analytics - Discover (Riverwoods, IL)

Portfolio Analysis (Decision Support & Analytics)

Discover. A more rewarding way to work.

At Discover Financial Services, you'll find yourself in the company of some of the industry's smartest and most reliable professionals. And at a company that rewards dedication, values innovation and supports growth.

Thrive in an environment that promotes teamwork and shared success. Build on a foundation of mutual respect. Join the company that understands rewarding careers like no other, with this exceptional opportunity:

• The Consultant will nee to be disciplined in quantitative, analytical and computing. M.S. in fields such as Mathematics, Economics, Statistics, and Computer Science, etc.. Have extensive experience using UNIX Shell scripting, VB programming, SQL database programming, and SAS statistical programming. Excel Pivot Table, Charting and Powerpoint presentation skills. Have handled large scale of data efficiently. Be familiar with data operations across different system platforms. Be Capable of turning data into business insights.
• Have experience in predictive modeling, data mining, and forecasting a plus. Have three plus years of Project Management experience in a high profile, deadline driven environment. They must be able to manage, organize and coordinate multiple, simultaneous projects. The role requires excellent communication and analytical skills, strong judgment skills and the ability to work effectively with senior management, business clients, BT management and staffs. This position will be client facing both internal and external.

Skills

SAS, UNIX shell scripting, Powerpoint, excel, vb, ANSI SQL and microsoft products. Database Marketing background is necessary.

...

Full details at http://www.datashaping.com/jobs18401x.shtml

Project Manager, Decision Management, Acquisition Modeling - Discover (Riverwoods, IL)

Discover. A more rewarding way to work.

At Discover Financial Services, you'll find yourself in the company of some of the industry's smartest and most reliable professionals. And at a company that rewards dedication, values innovation and supports growth.

Thrive in an environment that promotes teamwork and shared success. Build on a foundation of mutual respect. Join the company that understands rewarding careers like no other, with this exceptional opportunity:

This position is for Credit Risk Management, Decision Management - Acquisition Modeling team. The primary responsibilities include the development and implementation of acquisition models and analytical capabilities using the advanced data mining tools and the best-in-class data sources. Specific responsibilities include:

• Work with team members and business partners to design, develop, implement, and monitor acquisition risk models, on –us and off-us behavior models, Line and pricing frameworks and new strategic projects to meet the business requirements.
• Work independently with limited guidance, lead projects and provide guidance to team staff in modeling and analytics.
• Constantly strive to enhance model discrimination power by evaluating new data sources, identifying new variables, and innovating or adopting new modeling techniques.
• Maintain a high level of understanding of competency in statistical and analytical principles, tools, and advanced techniques, including knowledge in UNIX, programming skills in SAS / SQL, and any other statistical software used in DFS.
• Establish and maintain a thorough understanding of the risk, financial and business impact of key business variables on the overall DFS business. Proactively identify trends or developments that may impact business plan and performance or which may present opportunities. Keep functional areas and management abreast of such findings.

... Full details at http://www.datashaping.com/jobs18402x.shtml

Project Manager, Marketing Analytics - Discover (Riverwoods, IL)

Discover. A more rewarding way to work.

At Discover Financial Services, you'll find yourself in the company of some of the industry's smartest and most reliable professionals. And at a company that rewards dedication, values innovation and supports growth.

Thrive in an environment that promotes teamwork and shared success. Build on a foundation of mutual respect. Join the company that understands rewarding careers like no other, with this exceptional opportunity:

The Project Manager will be responsible for providing analytical support to Retention Marketing to help achieve attrition, sales, balance, and profitability goals.

Responsibilities Include:

• Tracking, analyzing, and optimizing telemarketing and direct mail campaigns
• Identifying key business drivers and making recommendations to improve effectiveness
• Developing retention strategies, adapting new analytical techniques
• Advising on test designs and selection criteria for marketing campaigns and ensuring readable results

Skills

• Master’s Degree in Statistics, Economics, Operations Research, Engineering, Mathematical Finance, or related quantitative fields
• Strong hands-on experience with SAS and SQL...

Full details at http://www.datashaping.com/jobs18403x.shtml

Sr Associate, Student Loan Portfolio - Discover (Riverwoods, IL)

Discover. A more rewarding way to work.

At Discover Financial Services, you'll find yourself in the company of some of the industry's smartest and most reliable professionals. And at a company that rewards dedication, values innovation and supports growth.

Thrive in an environment that promotes teamwork and shared success. Build on a foundation of mutual respect. Join the company that understands rewarding careers like no other, with this exceptional opportunity:

• Development of new and enhanced underwriting and portfolio strategies to mitigate risk and improve profitability of the Discover Student Loan business. Provide statistical analysis and reporting to support the development and implementation.
• Responsible for developing new underwriting and portfolio strategies for the applicant and co-applicant using demographics, application and credit data. credit policies and strategies.
• Redevelop and optimize existing strategies to adapt to changes in the business.
• Work in a cross-functional environment with Consumer Lending Banking
• Maintains a high level of understanding of competency in statistical and analytical principles, tools, and advanced techniques, including knowledge in UNIX, programming skills in SAS, and any other statistical software used in DFS.
• Develops statistical analysis to provide business solutions and support business decisions.

Skills

• Undergraduate degree in statistics, quantitative management, econometric/economics or equivalent in training or experience. Graduate degree preferred.
• SQL, SAS,SPSS
• ...

Full details at http://www.datashaping.com/jobs18404x.shtml

Consultant Fraud Risk - Discover (Riverwoods, IL)

PULSE is one of the nation's leading electronic funds transfer (EFT) networks. PULSE delivers high-quality, competitively priced switching and settlement services to financial institutions and other program participants for a variety of ATM, point-of-sale (POS) and other electronic banking transactions.

The incumbent supports the Senior Manager, Fraud Risk, in the formulation of fraud control strategies designed to minimize the risk for PULSE participants, including Acquirers, Card Issuers, Processors and Cardholders.

• Providing CP fraud prevention and detection products to Network participants
• Conducting comprehensive analysis of CP fraud and providing research and reporting to internal and external customers
• Meeting regularly with key Network participants to discuss CP fraud issues and concerns
• Participating in Industry associations, working groups and initiatives focused on collaborative fraud prevention efforts
• Contributes material for fraud awareness and training programs and materials
• Managing the design, testing and implementation of technology projects associated with CP fraud prevention programs
• Assisting in the development of Network regulations pertaining to CP fraud risk, and implementing programs to monitor compliance of Network participants
• Consulting on the developments of Network payment products and integrating appropriate CP fraud controls
• Supports relationships with vendors and providers of outsourced services
• SQL expert level skills are required

Full details at http://www.datashaping.com/jobs18405x.shtml

AVP, Analytics & Modeling - American Home Mortgage Servicing (Coppell, TX)

Statistical modeling/Analytics Strategy will provide leadership to a team of model developers. This hands-on manager will lead, manage, and execute highly complex predictive modeling initiatives that are critical to the firm's success - strategic, tactical, & operational; whole loan acquisition pricing, mortgage servicing portfolio management, consumer behavior analysis, Home price trends, macro and micro economic trends, MSR valuation, credit risk, interest rate risk, etc. The professional in this role will establish/maintain relationships with all levels of management, initiate, prioritize, scope, design, and deliver high-visibility quantitative projects. Provide assistance in translation of business needs into technical requirements and insure high-quality and timely delivery of results.

Manage and provide leadership and direction to a team of quantitative analysts (including international teams)

• Research and deliver new ways of leveraging our extensive mortgage data infrastructure and provide data-driven insights.
• Collaborate with key stake holders across various levels in the organization and serve as champion of analytics
• Responsible for planning, organizing and leading tasks and projects, and insuring the quality of the deliverables.
• Respond to the needs of management and external entities for data, analytical and quantitative support
• Other duties and responsibilities as assigned.

Qualifications

• Graduate degree (Ph.D. preferred) in a highly quant...

Details at http://www.datashaping.com/jobs18379x.shtml

Researcher, Predictive Analytics - Xerox (Webster, NY)

The Xerox Research Center Webster is seeking a researcher in the area of Predictive Analytics to design, develop, and deploy state-of-the-art, data-driven predictive models to solve business problems using the latest and most appropriate technologies in machine learning, pattern recognition, statistical modeling, information retrieval or stochastic operations research (Markov decision processes and reasoning under uncertainty).

Applicants must have a strong background in data modeling and analysis with deep expertise in one or more relevant areas, including, but not limited to, dynamic regression, time series models, decision support, recommendation systems, information retrieval, stochastic process modeling, graph theory, and Bayesian forecasting. The applicant must demonstrate state-of-the-art knowledge and presence in the research and/or entrepreneurial community in this area.

The successful candidate will be a team player capable of developing scalable solutions that go into real products. This will include developing actionable business information by extracting, standardizing, and transforming text and unstructured data from various sources. The candidate is expected to work from theory to application and needs to be an independent thinker and problem-solver with the ability to work directly with diverse business groups, anticipate business needs, and develop tools and processes in order to meet these needs.

The candidate should have strong software skills with expertise in modeling languages such as R, SAS or Matlab and, preferably, programming languages such as Java, Python or C#. Experience with large scale datasets and Hadoop/Mahout is also highly desired.

Role/Responsibilities:

Main responsibilities include analyzing large set of data, building models (data clean-up & filtering, pattern identification & feature extraction, variable selection, experimentation with algorithms). Additional responsibilities include communicating with research and business teams in order to develop partnerships through cross-functional collaboration.

Details at: http://www.datashaping.com/jobs18381x.shtml

Data Mining Analyst - Waterfront International (Toronto, Canada)

Waterfront International is a Toronto-based financial consulting firm, specializing in developing computer based statistical trading strategies. Waterfront’s selective hiring process considers only highly talented individuals with a history of exceptional professional and academic achievement, and solid real-world experience.

Primary Responsibilities:

• Perform financial market data research and analysis to identify and resolve data issues using advanced data mining techniques.
• Develop proprietary data mining tools and applications.
• Develop predictive models.

Requirements of the Candidate include:

• PhD or Masters in mathematics, statistics or computer science specializing in data mining.
• Experience with machine learning and knowledge discovery techniques.
• Solid quantitative background with excellent analytical skills.
• Strong working knowledge of data mining and statistics.
• Must possess expert level C/C++ programming skills.
• Some financial experience desired but not required.
• Must be a strong self-starter and able to work well independently.

Email: re... URL: www.datashaping.com/jobs18360x.shtml

SAS Analyst, Credit/Fraud Services & ScoreCard (Wichita, KS)

Headquartered in Wichita Kansas, Client is a rapidly growing provider of consumer financial services. Since opening their first store in 1997 in Riverside, California, they have successfully expanded to nine states and eighty-two retail locations. Client is currently the leading small short term lender in the brick and mortar store market place in terms of top line revenue and bottom line profitability. In the last 12 months Client has also developed and is rapidly expanding an online loan businesses with intentions of achieving superior market share in this space in the next 24 months. This role will assist the Lead Analyst developing, implementing and monitoring loan approval models that will result in increased acceptance rates and lower default rates of our various consumer loan products. The objective of the role is to assist development, implementation, monitoring of client’s credit risk strategies to help manage and grow the loan portfolio by optimizing values of each loan application and customer. The business operates in “test and learn” culture, where for each of our key credit risk decisions you will help Lead Analyst develop challenger strategies, rolling out successful strategies to champion status, pulling unsuccessful ones quickly and helping develop new challengers.

To help realize the client’s objectives, this Credit Data Analyst role will have a vital part to play. The role will be challenging, but also, be mentored by the Lead Analyst to fully support deliverables to individual business units’ Risk Data Management teams, with the aim to make all risks transparent and understood. Various responsibilities starting in Business and Finance and ending in Information Technology. Assist in the Start Up, Launch, and, Enhancements of new product development to meet loan regulatory and compliance requirements for new Internet Lending Practice. Web originated loan underwriting will be an eLoan / Web 2.0 consumer lending product. Work extensively with client’s Lead Credit Analyst, to assist in their own critical Credit ScoreCard development - From Chief Internet Officer’s desk :

"Put another way, consumer lending companies are becoming much more interested in understanding their customers’ lives and psyches, because, the theory goes, knowing what makes cardholders tick will help firms determine who is a good bet and who should be shown the door as quickly as possible. Luckily for the industry, small groups of executives at most of the large firms like ours, have spent the last decade studying our customers from almost every angle, and collection agencies have developed more sophisticated dunning techniques. We have sought to draw psychological and behavioral lessons from the enormous amounts of data the credit- lending companies collect every day. They’ve run thousands of tests and crunched the numbers on millions of accounts. "

Must be a US Citizen, or, have a Green Card

Salary : To 75K Plus - D.O.E. Relocation : Available Permanent position in the Midwest : Wichita - Ranked 2 as most "Livable Communities" for its size : http://www.wichitakansas.org. and more recently, one of ten “All American Cities” : http://www.wichitakansas.org/user/file/All_America_City.pdf

DUTIES & RESPONSIBILITIES:

• Assist Lead Analyst to develop, build and deploy various statistical models used for loan loss minimization, loss forecasting, and other targeted analysis.
• Provide direct support to the Lead Analyst in the evaluation and analysis of all consumer credit risk.
• Analyze portfolio level information to identify and monitor key risk factors and develop proposed solutions. Perform ad-hoc analysis of consumer portfolios.
• Report and analyze characteristics of the Consumer Credit lines of business in relation to policies, guidelines and processes.
• Deliver portfolio analysis and performance metrics as well as create insight into new areas of concern or benefit for the portfolio.
• Monitor and evaluate problem loan statistics. Ensure that appropriate reporting of activity is occurring consistent with company policy.
• Identify and communicate to the Lead Analyst potential policy and or operational improvements that will enhance credit quality.
• Deliver requests tasked for Credit Scoring add-ons from the Lead Analyst
• Deliver requests tasked for Test Validity of statistical results from Lead Analyst

KNOWLEDGE AND EXPERIENCE

• 2+ years experience with combined online consumer lending and sub-prime risk analysis, or other high volume data intensive environments (i.e. marketing /web analytics). Previous experience with a high online transaction volume environment is highly considered.
• 2+ years experience working with Microsoft SQL Server and SQL Reporting Services, BI Tools Suite, combined with strong analytical skills in their previous experience working with large volumes of transactional data.
• Sufficient hands-on experience in Quantitative Analytics.
• Sufficient hands-on experience in SAS, SQL / Excel. Hands-on Data Aggregator experience also preferred.
• Some understanding of consumer finance industry. Sub-prime and non-secured loans a plus.
• Demonstrated ability to interpret data from intensive, fast paced tasking requests.
• Demonstrated ability to work with significant volumes of data in various formats and databases.
• Demonstrated ability to learn and understand various applications and business intelligence/database tools.
• Knowledge of credit report attributes and non-traditional data attributes preferred.
• Knowledge in logistic regression, CHAID and decision trees strongly preferred.
• Knowledge of data mining and reporting, default modeling, and loan portfolio analytics strongly recommended
• Excellent critical thinking, analytical, verbal and written communication skills.
• Degree in Economics, Statistics Mathematics, Finance, Operations Research, Computer Science or other related areas.

To apply: email resume to tbird... URL: www.datashaping.com/jobs18361x.shtml

Risk Forecasting Analyst - CashEdge (Sunnyvale, CA)

Job Description:

The Risk Management group is responsible for policies to control risks associated with daily ACH/EFT Internet transactions. The group also provides consulting assistance to client financial institutions in establishing and monitoring their own risk criteria. The Risk Forecasting Analyst will be responsible for providing data mining support on risk management initiatives.

Location: preferred Sunnyvale, CA (but working from the NY office is possible)

Responsibilities:

• Extracting data and manipulating databases in developing analytical models for fraud detection and quantitative risk assessment.
• Building and monitoring the effectiveness of risk models, assessing their adequacy for different portfolio segments and clients, and determining when model modification/redevelopment is necessary.
• Investigating new data sources and analyzing predictive variables. Helping design, implement, and test new risk management strategies to optimize profitability while controlling risks.
• Participating in the design and development of new products/services, especially in regards to identifying and quantifying associated risks.

Qualifications Requirements:

• Demonstrated experience in risk management of 5 years in payment or funds transfer operations. Must have fraud risk policy and model development experience. Credit card experience is acceptable.
• Candidate should ideally possess 3-5 years of experience in the development of risk management policies / models / data mining for transaction risk management and resulting investigations.
• Fluent in SAS (Base, Stat, Macros) and SQL. Experienced in putting models in production or working with others to run your production models.
• Candidate must possess excellent written and oral communications skills; ability to work with other members of the team, strong interpersonal and communication skills to a non-technical audience. Are you a "geek that can speak?"
• The successful candidate will be analytical, organized, dependable, self-motivated, and able to work with minimal supervision.
• Applicant must be results oriented; shown proven leadership; and Must have ability to multi-task and handle deadlines.
• Proficiency in MS Office Applications
• Masters or advanced degree preferred (Statistics, Econometrics, Computer Science, Management Science / Operations Research), although more years of relevant experience, patents or publications can demonstrate maturity of experience.

Qualification Pluses:

Helpful experience can include some of:

• Experience with data mining algorithms (decision trees, SVM, clustering, fuzzy rules, Bayesian networks, boosting, bagging, L1 regularization, a-priori/AR, outlier detection...)
• Oracle PL/SQL
• Java
• R
• Internet advertising models (or experience on other problems of a low target rate, non-stationary, changing nature).

Reports to: Director, Risk Policy and Analytics Compensation: Commensurate with experience.

To Apply:

Please send Microsoft Word version of resume to U... URL: www.datashaping.com/jobs18362x.shtml

Senior Statistician - AstraZeneca R&D (Shanghai, China)

An exciting new opportunity has arisen for a senior statistician at our innovative and expanding site in Shanghai. You will have responsibility for developing and delivering statistical support to a range of disciplines and projects, with opportunity for delivering significant impact to the business … Please click he... URL: www.datashaping.com/jobs18363x.shtml

Principal Lead Researcher - Bing (Bellevue, WA)

Bing Search's mission: To deliver the most relevant knowledge to our customers by being more than just a search engine - Bing's goal is to be "decision engine". To achieve that mission data is critical. At Bing, we have enormous wealth of data, ranging from user interaction logs to web documents, from user feedback to system performance data.

The Bing Data Mining Team is hiring extremely talented, highly motivated and productive lead with expertise in the areas of analytics, statistics, machine learning, and data mining. The team develops and applies advanced techniques to turn our petabytes of data into insights; and to drive actions based on those insights. The team works closely with teams across Bing search to enable rigorous, effective and data-driven decision making.

At the core of our team's mission using data to understand users. Some example of the challenges we face: Understanding how users interact with different search features and how these features affect users' behaviors, understand user intent, detecting and filtering bot traffic, measuring user satisfaction, and analyzing the results of extremely large-scale experiments. We analyze a wealth of data to identify new information needs, find weak points in the current system, and quantify the business and user impact of technical issues (e.g. performance). The team also works on techniques to manage and process petabytes of data efficiently and effectively.

At Bing, we can offer you a strong team, exciting challenges, and a fun place to work. The work environment empowers you to have a real impact on millions of end users. This is also a unique opportunity to work with world-class researchers and developers. Join us and be at the forefront of search technology!

Job Responsibilities include:

• Manage and grow a team of applied researchers (analysts) and drive analysis directions.
• Apply data mining and statistics to measure and understand the search user experience and feature engagement.
• Generate actionable insights for improving search systems and increasing user satisfaction.
• Take high-level questions and analyze data to find answers to those questions.
• Research and develop solutions for providing high quality data (e.g. system health, performance measurement, bot & spam traffic identification, outlier detection, etc.).
• Analysis and design of large-scale (both number and size) experiments.
• Work with team across Bing search to identify problem where data mining, machine learning, or statistics can help. Explore and develop solutions to these problems.
• Act as an expert in the area of data mining, machine learning, statistics, or analytics.
• Design and carry out experiments to evaluate research results.
• Provide technical leadership and direction to others in the Bing Data Mining team.
• Build high quality infrastructure and data mining & analysis solution
• Drive actions in Search and OSD based on analysis results.

Qualifications:

• Bachelor degree and an advanced degree (Master, PhD) in data mining, statistics, machine learning, mathematics, or related field (or the equivalent combination of education and experience).
• Extensive knowledge and experience in at least two of the following areas: statistics, data analysis, data mining, web mining, machine learning, business intelligence & customer intelligence, user modeling (three or more areas are preferred). With 12 years practical experience (15 years are preferred).
• Experience technical manager with proven success records (3+ years).
• Strong ability to apply your statistics, mathematical and algorithmic expertise to solve real problems.
• Experience in analyzing very large real world datasets (esp. web data).
• Expertise with data analysis and statistical tools (e.g. R, SAS, or SPSS).
• Superior communications skills, both verbal and written.
• Hands-on approach to data analysis and a strong focus on quality.
• Ability to work independently and in a team to develop innovative solutions.
• Programming skills and experience (e.g. C/C++/C#/SQL).
• This position is located in Bellevue, Washington.

Contact: v-leda... URL: www.datashaping.com/jobs18366x.shtml

Project Manager in Applied Statistics - William E. Wecker (Novato, CA)

About the Job

William E. Wecker Associates, Inc. provides consulting services in applied mathematics and statistics. Areas of application range from consumer product performance to epidemiology, and to issues in accounting, finance and economics. Clients include Fortune 500 companies in the automobile, consumer products, banking, insurance and pharmaceuticals industries.

Project Manager responsibilities include liaison with client staff, working with Principal Consultants on problem definition and problem solving, and specifying and directing the work of Wecker Associates staff.

Project Manager in Applied Statistics

Desirable qualifications:

• M.S. or Ph.D. in statistics, mathematics, operations research, economics or related field;
• Aptitude for quantitative problem-solving and experience in data analysis;
• Strong computer skills (we use SAS, S-Plus, Mathematica, and other business and scientific software on UNIX and Macintosh platforms);
• Strong communication skills;
• Ability to work in collaboration with others in an informal, collegial environment;
• Ability to work effectively under deadlines.

Compensation is competitive and commensurate with performance.

We are located in the city of Novato, Marin County, California, thirty minutes north of San Francisco.

To Apply: Applicants should e-mail, fax or mail résumé, most recent university transcript and compensation history to the following address. No teleph... URL: www.datashaping.com/jobs18367x.shtml

Statistical Data Analyst II - Early Warning Services (Scottsdale, AZ)

Overall Purpose

This position supports Data Analytic initiatives through the performance of data loading, data preparation and data cleansing and by providing basic data analysis and ad hoc reporting as requested.

Essential Functions

• Extracts, transforms and loads (ETL) datasets from various sources and formats.
• Responsible for formatting, manipulating and transforming data in preparation for analysis and modeling.
• Produces standard and ad hoc reports.
• Monitors performance of production models and prepares related reporting and performance metrics.
• Assists more senior analysts as requested in model development tasks such as data preparation, variable creation, and statistical measures for model development.
• Responsible for a variety of exploratory data analysis (EDA) tasks
• Completes analyses related to customer value testing.
• Complies with all security policies and procedures, to ensure that the highest level of system and data confidentiality, integrity and availability is maintained.

Qualifications

• Bachelors Degree in Mathematics, Statistics, Computer Science, or related field; Advanced degree preferred.
• A minimum of 3+ years data analytics work experience or similar position.
• A minimum of 2+ years work related experience in SAS programming (Base SAS, SAS STAT, and SAS Macro).
• Data manipulation and data step programming experience required.
• Ability to effectively communicate results non-technical
• Ability to effectively communicate findings from complex analyses to non-technical audiences.
• Approved background and drug screen is required.

Physical Requirements Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and invol... URL: www.datashaping.com/jobs18369x.shtml

Leader, Data Analytics - Early Warning Services (Scottsdale, AZ)

Overall Purpose

This position provides leadership and direction related to Company data asset strategies and initiatives to accurately predict fraud and to leverage the Company’s vast data assets to drive customer value, company revenues and operational efficiencies and enhance quality of deliverables and market position. Directs and drives enhancements in data capture, storage, analytics and modeling.

Essential Functions

• Manages the data analytics team(s) to ensure the best predictive fraud solutions and strategies are developed and employed, including evaluation of various complex performance definitions, sampling approaches and segmentation alternatives for new product development.
• Partners with Sales, Marketing and Product groups to understand customer needs and cross-sell opportunities and provides data analytics support of business case models to further service solutions.
• Serves as the Company’s Subject Matter Expert for internal data and business intelligence and is the primary contact with Information Technology, Product and Operations for requirements specific to the creation and ongoing maintenance of analytical scoring models and enhancements, such as building ROI models, defining business problems and internal business cases to support new solutions and product enhancements.
• Develops appropriate processes and programs to ensure in-depth research and analysis of customer data and to enhance data collection, analysis, reporting tools and strategies.
• Ensures proper testing processes are established and followed to enable high data integrity, volumes and frequency.
• Understands key product metrics and identifies, defines, and ensures best practices in business intelligence analytics are utilized.
• Works cross functionally within the organization to deliver integrated business intelligence solutions.
• Responsible for managing prioritization of the Data Analytics project queue in conjunction with Product and other departments.
• Conducts periodic needs assessments among key company executives to continually improve the ability to meet Company objectives through data strategies and analytics.
• Works closely with Information Technology and other data/system providers, both internal and external, to enhance systems, troubleshoot and resolve issues.
• Ensures compliance with all security policies and procedures, to ensure that the highest level of system and data confidentiality, integrity and availability is maintained.

Qualifications

• Advanced degree in a quantitative field (i.e., Mathematics, Statistics, Econometrics or another relevant discipline).
• A minimum of 10 years management experience in data analytics, modeling and business intelligence.
• A minimum of 10 years management experience in financial services, fraud prevention or related field.
• Superior leadership and management skills together with strong business acumen.
• Experience leading the implementation of business intelligence solutions from the ground up following a defined methodology.
• Prior experience building a data analytics department highly preferred.
• SAS certification preferred. Demonstrated proficiency utilizing SAS or equivalent statistical modeling tools required.
• Approved background and drug screen is required.

Benefits We offer competitive salary and a unique benefits package including concierge service for employee personal needs, credit monitoring service for identity theft protection, a host of activities for employees and their families, 4 weeks paid time off, 401k plan with company match and 2 year vesting, tuition assistance, and the more traditional benefits including medical, dental, vision, life, and disability insura... URL: www.datashaping.com/jobs18370x.shtml

Sr. Statistician - Nielsen (Philadelphia, PA)

Nielsen is seeking a Senior Statistician/Methodologist in BASES Pharmaceutical business group. As a member of the Methodology and Advanced Analytics team, this position will work with many research teams to provide support in statistical analysis and consulting with innovative and creative statistical solutions.

The successful candidate should have a solid background in statistics and enjoy conducting quantitative analysis in a team environment. Successful experience in statistical modeling R&D, and implementation is very important. Business experience in consulting and/or pharmaceutical industry is also desirable. Other requisite skills include programming skills in SAS, SPSS, and related statistical programming. The position requires a detail-oriented person with excellent project management skills who is successful at multi-tasking and working with different teams.

Responsibilities

• Use various programs (SAS, SPSS, ACCESS, etc.) for data transformation and management. Ensure the accuracy, completeness, standardization and integrity of data.
• Help the research teams in designing quantitative market research studies.
• Implement advanced statistical methods, including discrete choice models, conjoint analysis, forecasting, segmentation models and other types of analysis as required by different projects.
• Mining of large databases (e.g., neural networks, machine learning, etc.)
• Coordinate and participate in ad hoc analyses to address client inquiries and resolve anomalies.
• Research and develop statistical methods and procedures.

Qualifications

PhD degree is preferred while Master's degree is required in Statistics, Economics, Psychometrics, Marketing Research or other similar quantitative fields

Working knowledge of statistical programming languages (SAS, SPSS, LIMDEP, R, etc.)

3+ years of research and/or working experience

Detail-oriented and proficient in quantitative analysis

Strong organizational, communication, and interpers...

URL: www.datashaping.com/jobs18371x.shtml

Analytics Manager - Opera Solutions (San Diego, CA)

COMPANY OVERVIEW

Opera Solutions turns Big Data into Big Profit for the world's leading companies. Established in 2004, we have today grown to 400+ professionals, with offices in New York, Jersey City, San Diego, London, Paris, New Delhi, and Shanghai.

Analytics and technology are central to our value proposition, not an afterthought. When you come to work for us, you'll be joining a rapidly growing firm offering exceptional opportunities for mathematicians, scientists, computer scientists, and software experts - working on very interesting questions and using an array of cutting edge approaches. You will have the breadth and the support to try new and creative avenues to solve problems.

More than 100 mathematicians, scientists, and statisticians staff our three scientific and technical Centers of Excellence in San Diego, Shanghai, and New Delhi, and we are committed to more than doubling this number by 2012. Our technology and analytics professionals are extraordinarily accomplished at applying advanced modeling techniques, machine learning, and new technologies to very large datasets and thorny analytic problems.

The work environment at Opera Solutions is fluid, challenging and fast-paced, reflecting the diversity of our clients and their needs. We work in teams and draw on each other's strengths to deliver results that really make a difference. Each team member is supported by the guidance and expertise of the rest of the team. We staff projects globally, giving consultants the opportunity to work with a global group of the best and brightest from North America, Europe, and Asia.

Position Title: Analytics Manager/Senior Manager

The Analytics manager will design, develop, and deploy state-of-the-art, data-driven predictive models to solve business problems using the latest and most appropriate technologies in machine learning, statistical modeling and Operations Research. He or she will deliver value in the market place by supporting teams serving clients; spearheading the analytics/technology component of new product development; and/or leading key research initiatives.

Main responsibilities include: development t of analytic solutions; pattern identification and feature extraction; variable selection; experimentation with algorithms; performance analysis and preparation for communication with internal and external clients; training and development of junior analytics staff.

Work will require effective coordination of global analytics and software development resources, clients, and business consultants. Some travel may be required to client locations.

Qualifications

Required:

Advanced degree (MS/ Ph.D.) in a quantitative field (i.e., Statistics, Engineering, Machine Learning, Physics, Econome

URL: www.datashaping.com/jobs18372x.shtml

Data mining project / Bayesian network (Telecommute, US)

I am looking for someone with experience grouping large amounts of data mined data for insertion into a Bayesian network. This job will consist of organizing a data base framework and directing programmers where to insert the data into the framework. The data will be organized per instructions from the Bayesian architect. The programmers will be data mining from an extremely large information pool and will need to be told where it should be placed when it is parsed.

This is not a full time job and could be completed in someone’s spare time. I personally am not experienced at all in this area. This is the reason for the job posting. I do not have an idea what this type of job would be worth so I will be accepting bids or quotes for someone’s spare time weekly. If someone wishes to take this job on as full time then that would welcomed.

URL: www.datashaping.com/jobs18373x.shtml